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From John Lilley <john.lil...@redpoint.net>
Subject RE: Shuffle phase replication factor
Date Wed, 22 May 2013 14:57:03 GMT
Ummmm, is that also the limit for the number of simultaneous connections?  In general, one
does not need a 1:1 map between threads and connections.
If this is the connection limit, does it imply  that the client or server side aggressively
disconnects after a transfer?
What happens to the pending/failing connection attempts that exceed the limit?

From: Rahul Bhattacharjee [mailto:rahul.rec.dgp@gmail.com]
Sent: Wednesday, May 22, 2013 8:52 AM
To: user@hadoop.apache.org
Subject: Re: Shuffle phase replication factor

There are properties/configuration to control the no. of copying threads for copy.

On Wed, May 22, 2013 at 8:16 PM, John Lilley <john.lilley@redpoint.net<mailto:john.lilley@redpoint.net>>
This brings up another nagging question I’ve had for some time.  Between HDFS and shuffle,
there seems to be the potential for “every node connecting to every other node” via TCP.
 Are there explicit mechanisms in place to manage or limit simultaneous connections?  Is the
protocol simply robust enough to allow a server-side to disconnect at any time to free up
slots and the client-side will retry the request?

From: Shahab Yunus [mailto:shahab.yunus@gmail.com<mailto:shahab.yunus@gmail.com>]
Sent: Wednesday, May 22, 2013 8:38 AM

To: user@hadoop.apache.org<mailto:user@hadoop.apache.org>
Subject: Re: Shuffle phase replication factor

As mentioned by Bertrand, Hadoop, The Definitive Guide, is well... really definitive :) place
to start. It is pretty thorough for starts and once you are gone through it, the code will
start making more sense too.


On Wed, May 22, 2013 at 10:33 AM, John Lilley <john.lilley@redpoint.net<mailto:john.lilley@redpoint.net>>
Oh I see.  Does this mean there is another service and TCP listen port for this purpose?
Thanks for your indulgence… I would really like to read more about this without bothering
the group but not sure where to start to learn these internals other than the code.

From: Kai Voigt [mailto:k@123.org<mailto:k@123.org>]
Sent: Tuesday, May 21, 2013 12:59 PM
To: user@hadoop.apache.org<mailto:user@hadoop.apache.org>
Subject: Re: Shuffle phase replication factor

The map output doesn't get written to HDFS. The map task writes its output to its local disk,
the reduce tasks will pull the data through HTTP for further processing.

Am 21.05.2013 um 19:57 schrieb John Lilley <john.lilley@redpoint.net<mailto:john.lilley@redpoint.net>>:

When MapReduce enters “shuffle” to partition the tuples, I am assuming that it writes
intermediate data to HDFS.  What replication factor is used for those temporary files?

Kai Voigt

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